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Vedika commited on
Update app.py
Browse files
app.py
CHANGED
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@@ -1,6 +1,9 @@
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import os
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import requests
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app = Flask(__name__)
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@@ -36,7 +39,7 @@ def chat():
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user_message = data.get("message", "")
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attachments = data.get("attachments", [])
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system_prompt = data.get("system_prompt", "")
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history = data.get("history", []) #
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max_tokens = data.get("max_tokens", 4096)
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temperature = data.get("temperature", 0.6)
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@@ -46,7 +49,7 @@ def chat():
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if system_prompt.strip():
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messages.append({"role": "system", "content": system_prompt})
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# 2. पुरानी हिस्ट्री (Memory) जोड़ना ताकि अर्जुन पुरानी बातें याद रखे
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for msg in history:
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role = msg.get("role", "user")
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content = msg.get("content", "")
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@@ -101,5 +104,31 @@ def chat():
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except Exception as e:
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return Response("Internal Error: Unable to process request securely.", status=500)
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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import os
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import asyncio
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import tempfile
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import requests
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import edge_tts
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from flask import Flask, request, Response, stream_with_context, render_template_string, send_file
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app = Flask(__name__)
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user_message = data.get("message", "")
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attachments = data.get("attachments", [])
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system_prompt = data.get("system_prompt", "")
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history = data.get("history", []) # पुरानी हिस्ट्री (Memory)
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max_tokens = data.get("max_tokens", 4096)
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temperature = data.get("temperature", 0.6)
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if system_prompt.strip():
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messages.append({"role": "system", "content": system_prompt})
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# 2. पुरानी हिस्ट्री (Memory) जोड़ना ताकि अर्जुन पुरानी बातें याद रखे
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for msg in history:
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role = msg.get("role", "user")
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content = msg.get("content", "")
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except Exception as e:
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return Response("Internal Error: Unable to process request securely.", status=500)
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# 🎙️ नया TTS एंडपॉइंट (Microsoft Edge - Prabhat Neural)
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@app.route('/api/tts', methods=['POST'])
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def tts():
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data = request.get_json() or {}
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text = data.get("text", "")
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if not text:
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return Response("No text provided", status=400)
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# एक टेम्परेरी MP3 फाइल बनाना
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temp_path = tempfile.mktemp(suffix=".mp3")
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# आवाज़ को भारी (Heavy/Deep) करने के लिए pitch को कम किया गया है (-20%)
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# Prabhat Neural की आवाज सेट की गई है।
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async def generate_audio():
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communicate = edge_tts.Communicate(text, "en-IN-PrabhatNeural", pitch="-20%", rate="-5%")
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await communicate.save(temp_path)
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try:
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asyncio.run(generate_audio())
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return send_file(temp_path, mimetype="audio/mpeg", as_attachment=False)
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except Exception as e:
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return Response(f"TTS Error: {str(e)}", status=500)
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860)
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