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Kfjjdjdjdhdhd commited on Mar 8

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5b4adb6

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1 Parent(s): 9cd71e4

Update api.py

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api.py +509 -347

api.py CHANGED Viewed

@@ -1,347 +1,509 @@
-from main import *
-from tts_api import *
-from stt_api import *
-from sentiment_api import *
-from imagegen_api import *
-from musicgen_api import *
-from translation_api import *
-from codegen_api import *
-from text_to_video_api import *
-from summarization_api import *
-from image_to_3d_api import *
-from flask import Flask, request, jsonify, Response, send_file, stream_with_context
-from flask_cors import CORS
-import torch
-import torch.nn.functional as F
-import torchaudio
-import numpy as np
-from PIL import Image
-import io
-import tempfile
-import queue
-import json
-import base64
-from markupsafe import Markup
-from markupsafe import escape
-app = Flask(__name__)
-CORS(app)
-html_code = """<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>AI Text Generation</title>
-    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/4.1.1/animate.min.css"/>
-    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" integrity="sha512-9usAa10IRO0HhonpyAIVpjrylPvoDwiPUiKdWk5t3PyolY1cOd4DSE0Ga+ri4AuTroPR5aQvXU9xC6qOPnzFeg==" crossorigin="anonymous" referrerpolicy="no-referrer" />
-    <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
-    <style>
-        body {
-            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-            background: #f0f0f0;
-            color: #333;
-            margin: 0;
-            padding: 0;
-            display: flex;
-            flex-direction: column;
-            align-items: center;
-            min-height: 100vh;
-        }
-        .container {
-            width: 95%;
-            max-width: 900px;
-            padding: 20px;
-            background-color: #fff;
-            box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
-            border-radius: 8px;
-            margin-top: 20px;
-            margin-bottom: 20px;
-            display: flex;
-            flex-direction: column;
-        }
-        .header {
-            text-align: center;
-            margin-bottom: 20px;
-        }
-        .header h1 {
-            font-size: 2em;
-            color: #333;
-        }
-        .form-group {
-            margin-bottom: 15px;
-        }
-        .form-group textarea {
-            width: 100%;
-            padding: 10px;
-            border: 1px solid #ccc;
-            border-radius: 5px;
-            font-size: 16px;
-            box-sizing: border-box;
-            resize: vertical;
-        }
-        button {
-            padding: 10px 15px;
-            border: none;
-            border-radius: 5px;
-            background-color: #007bff;
-            color: white;
-            font-size: 18px;
-            cursor: pointer;
-            transition: background-color 0.3s ease;
-        }
-        button:hover {
-            background-color: #0056b3;
-        }
-        #output {
-            margin-top: 20px;
-            padding: 15px;
-            border: 1px solid #ddd;
-            border-radius: 5px;
-            background-color: #f9f9f9;
-            white-space: pre-wrap;
-            word-break: break-word;
-            overflow-y: auto;
-            max-height: 100vh;
-        }
-        #output strong {
-            font-weight: bold;
-        }
-        .animated-text {
-            position: fixed;
-            top: 20px;
-            left: 20px;
-            font-size: 1.5em;
-            color: rgba(0, 0, 0, 0.1);
-            pointer-events: none;
-            z-index: -1;
-        }
-        @media (max-width: 768px) {
-            .container {
-                width: 98%;
-                margin-top: 10px;
-                margin-bottom: 10px;
-                padding: 15px;
-            }
-            .header h1 {
-                font-size: 1.8em;
-            }
-            .form-group textarea, .form-group input[type="text"] {
-                font-size: 14px;
-                padding: 8px;
-            }
-            button {
-                font-size: 16px;
-                padding: 8px 12px;
-            }
-            #output {
-                font-size: 14px;
-                padding: 10px;
-                margin-top: 15px;
-            }
-        }
-    </style>
-</head>
-<body>
-<div class="animated-text animate__animated animate__fadeIn animate__infinite infinite">AI POWERED</div>
-<div class="container">
-    <div class="header animate__animated animate__fadeInDown">
-    </div>
-    <div class="form-group animate__animated animate__fadeInLeft">
-        <textarea id="text" rows="5" placeholder="Enter text"></textarea>
-    </div>
-    <button onclick="generateText()" class="animate__animated animate__fadeInUp">Generate Reasoning</button>
-    <div id="output" class="animate__animated">
-        <strong>Response:</strong><br>
-        <span id="generatedText"></span>
-    </div>
-</div>
-<script>
-    let eventSource = null;
-    let accumulatedText = "";
-    let lastResponse = "";
-    async function generateText() {
-        const inputText = document.getElementById("text").value;
-        document.getElementById("generatedText").innerText = "";
-        accumulatedText = "";
-        if (eventSource) {
-            eventSource.close();
-        }
-        const temp = 0.7;
-        const top_k_val = 40;
-        const top_p_val = 0.0;
-        const repetition_penalty_val = 1.2;
-        const requestData = {
-            text: inputText,
-            temp: temp,
-            top_k: top_k_val,
-            top_p: top_p_val,
-            reppenalty: repetition_penalty_val
-        };
-        const params = new URLSearchParams(requestData).toString();
-        eventSource = new EventSource('/api/v1/generate_stream?' + params);
-        eventSource.onmessage = function(event) {
-            if (event.data === "<END_STREAM>") {
-                eventSource.close();
-                const currentResponse = accumulatedText.replace("<|endoftext|>", "").replace(/\s+(?=[.,，。])/g, '').trim();
-                if (currentResponse === lastResponse.trim()) {
-                    accumulatedText = "**Response is repetitive. Please try again or rephrase your query.**";
-                } else {
-                    lastResponse = currentResponse;
-                }
-                document.getElementById("generatedText").innerHTML = marked.parse(accumulatedText);
-                return;
-            }
-            accumulatedText += event.data;
-            let partialText = accumulatedText.replace("<|endoftext|>", "").replace(/\s+(?=[.,，。])/g, '').trim();
-            document.getElementById("generatedText").innerHTML = marked.parse(partialText);
-        };
-        eventSource.onerror = function(error) {
-            console.error("SSE error", error);
-            eventSource.close();
-        };
-        const outputDiv = document.getElementById("output");
-        outputDiv.classList.add("show");
-    }
-    function base64ToBlob(base64Data, contentType) {
-        contentType = contentType || '';
-        const sliceSize = 1024;
-        const byteCharacters = atob(base64Data);
-        const bytesLength = byteCharacters.length;
-        const slicesCount = Math.ceil(bytesLength / sliceSize);
-        const byteArrays = new Array(slicesCount);
-        for (let sliceIndex = 0; sliceIndex < slicesCount; ++sliceIndex) {
-            const begin = sliceIndex * sliceSize;
-            const end = Math.min(begin + sliceSize, bytesLength);
-            const bytes = new Array(end - begin);
-            for (let offset = begin, i = 0; offset < end; ++i, ++offset) {
-                bytes[i] = byteCharacters[offset].charCodeAt(0);
-            }
-            byteArrays[sliceIndex] = new Uint8Array(bytes);
-        }
-        return new Blob(byteArrays, { type: contentType });
-    }
-</script>
-</body>
-</html>
-"""
-feedback_queue = queue.Queue()
-@app.route("/")
-def index():
-    return html_code
-@app.route("/api/v1/generate_stream", methods=["GET"])
-def generate_stream():
-    text = request.args.get("text", "")
-    temp = float(request.args.get("temp", 0.7))
-    top_k = int(request.args.get("top_k", 40))
-    top_p = float(request.args.get("top_p", 0.0))
-    reppenalty = float(request.args.get("reppenalty", 1.2))
-    response_queue = queue.Queue()
-    reasoning_queue.put({
-        'text_input': text,
-        'temperature': temp,
-        'top_k': top_k,
-        'top_p': top_p,
-        'repetition_penalty': reppenalty,
-        'response_queue': response_queue
-    })
-    @stream_with_context
-    def event_stream():
-        while True:
-            output = response_queue.get()
-            if "error" in output:
-                yield "data: <ERROR>\n\n"
-                break
-            text_chunk = output.get("text")
-            if text_chunk:
-                for word in text_chunk.split(' '):
-                    clean_word = word.strip()
-                    if clean_word:
-                        yield "data: " + clean_word + "\n\n"
-                yield "data: <END_STREAM>\n\n"
-                break
-    return Response(event_stream(), mimetype="text/event-stream")
-@app.route("/api/v1/generate", methods=["POST"])
-def generate():
-    data = request.get_json()
-    text = data.get("text", "")
-    temp = float(data.get("temp", 0.7))
-    top_k = int(data.get("top_k", 40))
-    top_p = float(data.get("top_p", 0.0))
-    reppenalty = float(data.get("reppenalty", 1.2))
-    response_queue = queue.Queue()
-    reasoning_queue.put({
-        'text_input': text,
-        'temperature': temp,
-        'top_k': top_k,
-        'top_p': top_p,
-        'repetition_penalty': reppenalty,
-        'response_queue': response_queue
-    })
-    output = response_queue.get()
-    if "error" in output:
-        return jsonify({"error": output["error"]}), 500
-    result_text = output.get("text", "").strip()
-    return jsonify({"response": result_text})
-@app.route("/api/v1/feedback", methods=["POST"])
-def feedback():
-    data = request.get_json()
-    feedback_text = data.get("feedback_text")
-    correct_category = data.get("correct_category")
-    if feedback_text and correct_category:
-        feedback_queue.put((feedback_text, correct_category))
-        return jsonify({"status": "feedback received"})
-    return jsonify({"status": "feedback failed"}), 400
-@app.route("/api/v1/tts", methods=["POST"])
-def tts_api():
-    return tts_route()
-@app.route("/api/v1/stt", methods=["POST"])
-def stt_api():
-    return stt_route()
-@app.route("/api/v1/sentiment", methods=["POST"])
-def sentiment_api():
-    return sentiment_route()
-@app.route("/api/v1/imagegen", methods=["POST"])
-def imagegen_api():
-    return imagegen_route()
-@app.route("/api/v1/musicgen", methods=["POST"])
-def musicgen_api():
-    return musicgen_route()
-@app.route("/api/v1/translation", methods=["POST"])
-def translation_api():
-    return translation_route()
-@app.route("/api/v1/codegen", methods=["POST"])
-def codegen_api():
-    return codegen_route()
-@app.route("/api/v1/text_to_video", methods=["POST"])
-def text_to_video_api():
-    return text_to_video_route()
-@app.route("/api/v1/summarization", methods=["POST"])
-def summarization_api():
-    return summarization_route()
-@app.route("/api/v1/image_to_3d", methods=["POST"])
-def image_to_3d_api():
-    return image_to_3d_route()
-@app.route("/api/v1/sadtalker", methods=["POST"])
-def sadtalker():
-    from sadtalker_api import router as sadtalker_router
-    return sadtalker_router.create_video()
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860)

+from main import *
+from tts_api import *
+from stt_api import *
+from sentiment_api import *
+from imagegen_api import *
+from musicgen_api import *
+from translation_api import *
+from codegen_api import *
+from text_to_video_api import *
+from summarization_api import *
+from image_to_3d_api import *
+from flask import Flask, request, jsonify, Response, send_file, stream_with_context
+from flask_cors import CORS
+import torch
+import torch.nn.functional as F
+import torchaudio
+import numpy as np
+from PIL import Image
+import io
+import tempfile
+import queue
+import json
+import base64
+from markupsafe import Markup
+from markupsafe import escape
+app = Flask(__name__)
+CORS(app)
+html_code = """<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>AI Conversational Avatar</title>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/4.1.1/animate.min.css"/>
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css"/>
+    <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
+    <style>
+        body {
+            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+            background: #f0f0f0;
+            color: #333;
+            margin: 0;
+            padding: 0;
+            display: flex;
+            flex-direction: column;
+            align-items: center;
+            min-height: 100vh;
+        }
+        .container {
+            width: 95%;
+            max-width: 900px;
+            padding: 20px;
+            background-color: #fff;
+            box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
+            border-radius: 8px;
+            margin-top: 20px;
+            margin-bottom: 20px;
+            display: flex;
+            flex-direction: column;
+        }
+        .header {
+            text-align: center;
+            margin-bottom: 20px;
+        }
+        .header h1 {
+            font-size: 2em;
+            color: #333;
+        }
+        .form-group {
+            margin-bottom: 15px;
+        }
+        .form-group textarea, .form-group input[type="text"] {
+            width: 100%;
+            padding: 10px;
+            border: 1px solid #ccc;
+            border-radius: 5px;
+            font-size: 16px;
+            box-sizing: border-box;
+        }
+        button, #recordButton, #stopButton {
+            padding: 10px 15px;
+            border: none;
+            border-radius: 5px;
+            background-color: #007bff;
+            color: white;
+            font-size: 18px;
+            cursor: pointer;
+            transition: background-color 0.3s ease;
+            margin-right: 5px;
+        }
+        button:hover, #recordButton:hover, #stopButton:hover {
+            background-color: #0056b3;
+        }
+        #output {
+            margin-top: 20px;
+            padding: 15px;
+            border: 1px solid #ddd;
+            border-radius: 5px;
+            background-color: #f9f9f9;
+            white-space: pre-wrap;
+            word-break: break-word;
+            overflow-y: auto;
+            max-height: 300px;
+        }
+        #videoOutput {
+            margin-top: 20px;
+            border: 1px solid #ddd;
+            border-radius: 5px;
+            overflow: hidden;
+        }
+        #videoOutput video {
+            width: 100%;
+            display: block;
+        }
+        #animatedText {
+            position: fixed;
+            top: 20px;
+            left: 20px;
+            font-size: 1.5em;
+            color: rgba(0, 0, 0, 0.1);
+            pointer-events: none;
+            z-index: -1;
+        }
+        #transcriptionOutput {
+            margin-top: 10px;
+            padding: 10px;
+            border: 1px solid #ddd;
+            border-radius: 5px;
+            background-color: #f9f9f9;
+            font-size: 14px;
+            word-break: break-word;
+        }
+        @media (max-width: 768px) {
+            .container {
+                width: 98%;
+                margin-top: 10px;
+                margin-bottom: 10px;
+                padding: 15px;
+            }
+            .header h1 {
+                font-size: 1.8em;
+            }
+            .form-group textarea, .form-group input[type="text"] {
+                font-size: 14px;
+                padding: 8px;
+            }
+            button, #recordButton, #stopButton {
+                font-size: 16px;
+                padding: 8px 12px;
+            }
+            #output, #transcriptionOutput {
+                font-size: 14px;
+                padding: 10px;
+                margin-top: 15px;
+            }
+        }
+    </style>
+</head>
+<body>
+<div id="animatedText" class="animated-text animate__animated animate__fadeIn animate__infinite infinite">AI POWERED</div>
+<div class="container">
+    <div class="header animate__animated animate__fadeInDown">
+        <h1>Conversational Avatar</h1>
+    </div>
+    <div class="form-group animate__animated animate__fadeInLeft">
+        <textarea id="textInput" rows="3" placeholder="Or type your request here"></textarea>
+    </div>
+    <div class="form-group animate__animated animate__fadeInRight" style="text-align: center;">
+        <button onclick="generateResponse()" class="animate__animated animate__fadeInUp">Generate Avatar Response</button>
+    </div>
+    <div style="text-align: center; margin-bottom: 15px;">
+        <button id="recordButton" class="animate__animated animate__fadeInUp"><i class="fas fa-microphone"></i> Start Recording</button>
+        <button id="stopButton" class="animate__animated animate__fadeInUp" disabled><i class="fas fa-stop-circle"></i> Stop Recording</button>
+    </div>
+    <div id="transcriptionOutput" class="animate__animated animate__fadeIn">
+        <strong>Transcription:</strong>
+        <span id="transcriptionText"></span>
+    </div>
+    <div id="output" class="animate__animated animate__fadeIn">
+        <strong>Response:</strong><br>
+        <span id="responseText"></span>
+    </div>
+    <div id="videoOutput" class="animate__animated animate__fadeIn">
+        <video id="avatarVideo" controls></video>
+    </div>
+</div>
+<script>
+    let mediaRecorder;
+    let audioChunks = [];
+    let lastResponse = "";
+    let accumulatedText = "";
+    let eventSource = null;
+    let audioURL;
+    const recordButton = document.getElementById('recordButton');
+    const stopButton = document.getElementById('stopButton');
+    const transcriptionTextSpan = document.getElementById('transcriptionText');
+    const responseTextSpan = document.getElementById('responseText');
+    const avatarVideoPlayer = document.getElementById('avatarVideo');
+    const textInputField = document.getElementById('textInput');
+    recordButton.onclick = async () => {
+        try {
+            const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
+            mediaRecorder = new MediaRecorder(stream);
+            audioChunks = [];
+            mediaRecorder.ondataavailable = event => {
+                audioChunks.push(event.data);
+            };
+            mediaRecorder.onstop = async () => {
+                const audioBlob = new Blob(audioChunks, { type: 'audio/wav' });
+                const formData = new FormData();
+                formData.append('audio', audioBlob, 'recording.wav');
+                transcriptionTextSpan.innerText = "Transcribing...";
+                responseTextSpan.innerText = "";
+                avatarVideoPlayer.src = "";
+                try {
+                    const sttResponse = await fetch('/api/v1/stt', {
+                        method: 'POST',
+                        body: formData
+                    });
+                    if (!sttResponse.ok) {
+                        throw new Error(\`HTTP error! status: ${sttResponse.status}\`);
+                    }
+                    const sttData = await sttResponse.json();
+                    const transcribedText = sttData.text;
+                    transcriptionTextSpan.innerText = transcribedText || "Transcription failed.";
+                    if (transcribedText) {
+                        await generateAvatarVideoResponse(transcribedText);
+                    }
+                } catch (error) {
+                    console.error("STT or subsequent error:", error);
+                    transcriptionTextSpan.innerText = "Transcription error.";
+                    responseTextSpan.innerText = "Error processing audio.";
+                } finally {
+                    recordButton.disabled = false;
+                    stopButton.disabled = true;
+                }
+            };
+            recordButton.disabled = true;
+            stopButton.disabled = false;
+            transcriptionTextSpan.innerText = "Recording...";
+            mediaRecorder.start();
+        } catch (error) {
+            console.error("Error accessing microphone:", error);
+            transcriptionTextSpan.innerText = "Microphone access denied or error.";
+            recordButton.disabled = false;
+            stopButton.disabled = true;
+        }
+    };
+    stopButton.onclick = () => {
+        if (mediaRecorder && mediaRecorder.state === "recording") {
+            transcriptionTextSpan.innerText = "Processing...";
+            mediaRecorder.stop();
+            recordButton.disabled = true;
+            stopButton.disabled = true;
+        }
+    };
+    async function generateResponse() {
+        const inputText = textInputField.value;
+        if (!inputText.trim()) {
+            alert("Please enter text or record audio.");
+            return;
+        }
+        transcriptionTextSpan.innerText = inputText;
+        await generateAvatarVideoResponse(inputText);
+    }
+    async function generateAvatarVideoResponse(inputText) {
+        responseTextSpan.innerText = "Generating response...";
+        avatarVideoPlayer.src = "";
+        accumulatedText = "";
+        lastResponse = "";
+        const temp = 0.7;
+        const top_k_val = 40;
+        const top_p_val = 0.0;
+        const repetition_penalty_val = 1.2;
+        const requestData = {
+            text: inputText,
+            temp: temp,
+            top_k: top_k_val,
+            top_p: top_p_val,
+            reppenalty: repetition_penalty_val
+        };
+        if (eventSource) {
+            eventSource.close();
+        }
+        eventSource = new EventSource('/api/v1/generate_stream?' + new URLSearchParams(requestData).toString());
+        eventSource.onmessage = async function(event) {
+            if (event.data === "<END_STREAM>") {
+                eventSource.close();
+                const currentResponse = accumulatedText.replace("<|endoftext|>", "").replace(/\s+(?=[.,，。])/g, '').trim();
+                if (currentResponse === lastResponse.trim()) {
+                    accumulatedText = "**Response is repetitive. Please try again or rephrase your query.**";
+                } else {
+                    lastResponse = currentResponse;
+                }
+                responseTextSpan.innerHTML = marked.parse(accumulatedText);
+                try {
+                    const ttsResponse = await fetch('/api/v1/tts', {
+                        method: 'POST',
+                        headers: {
+                            'Content-Type': 'application/json'
+                        },
+                        body: JSON.stringify({ text: currentResponse })
+                    });
+                    if (!ttsResponse.ok) {
+                        throw new Error(\`TTS HTTP error! status: ${ttsResponse.status}\`);
+                    }
+                    const ttsBlob = await ttsResponse.blob();
+                    audioURL = URL.createObjectURL(ttsBlob);
+                    const sadTalkerResponse = await fetch('/api/v1/sadtalker', {
+                        method: 'POST',
+                        body: new URLSearchParams({
+                            'source_image': './examples/source_image/full_body_female.png',
+                            'driven_audio': audioURL,
+                            'preprocess': 'full',
+                            'still_mode': false,
+                            'use_enhancer': true
+                        })
+                    });
+                    if (!sadTalkerResponse.ok) {
+                        throw new Error(\`SadTalker HTTP error! status: ${sadTalkerResponse.status}\`);
+                    }
+                    const sadTalkerData = await sadTalkerResponse.json();
+                    const videoURL = sadTalkerData.video_url;
+                    avatarVideoPlayer.src = videoURL;
+                } catch (ttsError) {
+                    console.error("TTS or SadTalker error:", ttsError);
+                    responseTextSpan.innerHTML += "<br><br>Error generating audio or video avatar.";
+                }
+                return;
+            }
+            accumulatedText += event.data;
+            let partialText = accumulatedText.replace("<|endoftext|>", "").replace(/\s+(?=[.,，。])/g, '').trim();
+            responseTextSpan.innerHTML = marked.parse(partialText);
+        };
+        eventSource.onerror = function(error) {
+            console.error("SSE error", error);
+            eventSource.close();
+            responseTextSpan.innerText = "Error generating response stream.";
+        };
+        const outputDiv = document.getElementById("output");
+        outputDiv.classList.add("show");
+    }
+</script>
+</body>
+</html>
+"""
+feedback_queue = queue.Queue()
+@app.route("/")
+def index():
+    return html_code
+@app.route("/api/v1/generate_stream", methods=["GET"])
+def generate_stream():
+    text = request.args.get("text", "")
+    temp = float(request.args.get("temp", 0.7))
+    top_k = int(request.args.get("top_k", 40))
+    top_p = float(request.args.get("top_p", 0.0))
+    reppenalty = float(request.args.get("reppenalty", 1.2))
+    response_queue = queue.Queue()
+    reasoning_queue.put({
+        'text_input': text,
+        'temperature': temp,
+        'top_k': top_k,
+        'top_p': top_p,
+        'repetition_penalty': reppenalty,
+        'response_queue': response_queue
+    })
+    @stream_with_context
+    def event_stream():
+        while True:
+            output = response_queue.get()
+            if "error" in output:
+                yield "data: <ERROR>\n\n"
+                break
+            text_chunk = output.get("text")
+            if text_chunk:
+                for word in text_chunk.split(' '):
+                    clean_word = word.strip()
+                    if clean_word:
+                        yield "data: " + clean_word + "\n\n"
+                yield "data: <END_STREAM>\n\n"
+                break
+    return Response(event_stream(), mimetype="text/event-stream")
+@app.route("/api/v1/generate", methods=["POST"])
+def generate():
+    data = request.get_json()
+    text = data.get("text", "")
+    temp = float(data.get("temp", 0.7))
+    top_k = int(data.get("top_k", 40))
+    top_p = float(data.get("top_p", 0.0))
+    reppenalty = float(data.get("reppenalty", 1.2))
+    response_queue = queue.Queue()
+    reasoning_queue.put({
+        'text_input': text,
+        'temperature': temp,
+        'top_k': top_k,
+        'top_p': top_p,
+        'repetition_penalty': reppenalty,
+        'response_queue': response_queue
+    })
+    output = response_queue.get()
+    if "error" in output:
+        return jsonify({"error": output["error"]}), 500
+    result_text = output.get("text", "").strip()
+    return jsonify({"response": result_text})
+@app.route("/api/v1/feedback", methods=["POST"])
+def feedback():
+    data = request.get_json()
+    feedback_text = data.get("feedback_text")
+    correct_category = data.get("correct_category")
+    if feedback_text and correct_category:
+        feedback_queue.put((feedback_text, correct_category))
+        return jsonify({"status": "feedback received"})
+    return jsonify({"status": "feedback failed"}), 400
+@app.route("/api/v1/tts", methods=["POST"])
+def tts_api():
+    return tts_route()
+@app.route("/api/v1/stt", methods=["POST"])
+def stt_api():
+    return stt_route()
+@app.route("/api/v1/sentiment", methods=["POST"])
+def sentiment_api():
+    return sentiment_route()
+@app.route("/api/v1/imagegen", methods=["POST"])
+def imagegen_api():
+    return imagegen_route()
+@app.route("/api/v1/musicgen", methods=["POST"])
+def musicgen_api():
+    return musicgen_route()
+@app.route("/api/v1/translation", methods=["POST"])
+def translation_api():
+    return translation_route()
+@app.route("/api/v1/codegen", methods=["POST"])
+def codegen_api():
+    return codegen_route()
+@app.route("/api/v1/text_to_video", methods=["POST"])
+def text_to_video_api():
+    return text_to_video_route()
+@app.route("/api/v1/summarization", methods=["POST"])
+def summarization_api():
+    return summarization_route()
+@app.route("/api/v1/image_to_3d", methods=["POST"])
+def image_to_3d_api():
+    return image_to_3d_route()
+@app.route("/api/v1/sadtalker", methods=["POST"])
+def sadtalker():
+    from sadtalker_api import router as sadtalker_router
+    return sadtalker_router.create_video()
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)