Spaces:
Runtime error
Runtime error
akashpatil8150 commited on
Commit ·
671d3b1
1
Parent(s): e5eecd2
Fix: Migrate to google-genai SDK to resolve gRPC credential errors on HF Spaces
Browse files- app.py +44 -92
- requirements.txt +1 -1
app.py
CHANGED
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@@ -4,7 +4,8 @@ import json
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import random
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import datetime
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from typing import Dict, List, Any, Optional
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-
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from dotenv import load_dotenv
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import os
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import logging
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@@ -36,11 +37,10 @@ if not api_key:
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logger.error("GEMINI_API_KEY not found in environment variables!")
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raise ValueError("GEMINI_API_KEY not found! Please set it in environment variables")
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# Log API key status (without exposing the key)
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logger.info(f"API Key loaded successfully (length: {len(api_key)} characters)")
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try:
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genai.
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logger.info("Gemini API configured successfully")
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except Exception as e:
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logger.error(f"Failed to configure Gemini API: {str(e)}")
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@@ -60,16 +60,14 @@ Tools: book_appointment(name,address,date,time), cancel_appointment(id)
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Brief answers only.'''
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"models/gemini-flash-lite-latest",
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generation_config={
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"temperature": 0.2, # Very low for fastest responses
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"top_p": 0.8,
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"top_k": 5, # Minimal choices for speed
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"max_output_tokens": 100, # Very short responses
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}
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)
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# Tool Functions
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def validate_time_slot(time: str) -> tuple[bool, str]:
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"""Validate if time slot is within business hours and in correct format"""
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@@ -216,120 +214,74 @@ def process_tool_call(response_text: str) -> Optional[Dict[str, Any]]:
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}
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def chat(user_input: str) -> Dict[str, Any]:
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"""Main chat function
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try:
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logger.info(f"Processing chat request: {user_input[:50]}...")
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full_prompt = f"{SYSTEM_PROMPT}\n\nUser: {user_input}\n\nAssistant:"
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full_prompt,
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)
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logger.warning("No response candidates generated")
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return {
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"type": "error",
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"content": "No response generated. Please try again.",
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"language": "en"
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}
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-
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# Check if response was blocked or empty
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if not candidate.content or not candidate.content.parts:
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logger.warning("Response blocked or empty")
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return {
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"type": "error",
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"content": "Response blocked or empty. Please rephrase your question.",
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"language": "en"
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}
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response_text = candidate.content.parts[0].text.strip()
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processed_response = process_tool_call(response_text)
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logger.info("Chat request processed successfully")
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return processed_response
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except Exception as e:
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error_msg = str(e)
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logger.error(f"Chat error: {error_msg}")
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if "429" in error_msg or "quota" in error_msg.lower():
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return {
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"language": "en"
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}
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elif "504" in error_msg or "deadline" in error_msg.lower() or "timeout" in error_msg.lower():
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return {
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"type": "error",
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"content": "Response too slow. Try a shorter question or wait a moment.",
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"language": "en"
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}
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else:
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return {
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"type": "error",
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"content": f"Error: {error_msg}",
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"language": "en"
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}
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def chat_stream(user_input: str):
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"""Streaming chat function
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try:
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logger.info(f"Processing streaming chat request: {user_input[:50]}...")
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full_prompt = f"{SYSTEM_PROMPT}\n\nUser: {user_input}\n\nAssistant:"
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response = model.generate_content(
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full_prompt,
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stream=True,
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request_options={"timeout": 10}
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)
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accumulated_text = ""
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for chunk in
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if accumulated_text:
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processed = process_tool_call(accumulated_text)
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yield f"data: {json.dumps({'done': True, 'result': processed})}\n\n"
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logger.info("Streaming chat request completed successfully")
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else:
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"type": "error",
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"content": "No response generated. Please try again.",
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"language": "en"
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}
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yield f"data: {json.dumps({'done': True, 'result': error_response})}\n\n"
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logger.warning("Streaming chat generated no response")
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except Exception as e:
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error_msg = str(e)
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logger.error(f"Streaming chat error: {error_msg}")
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if "429" in error_msg or "quota" in error_msg.lower():
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"language": "en"
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}
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elif "504" in error_msg or "deadline" in error_msg.lower() or "timeout" in error_msg.lower():
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error_response = {
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"type": "error",
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"content": "Response too slow. Try a shorter question or wait a moment.",
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"language": "en"
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}
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else:
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"content": f"Error: {error_msg}",
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"language": "en"
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}
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yield f"data: {json.dumps({'done': True, 'result': error_response})}\n\n"
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# Routes
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@app.route('/')
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import random
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import datetime
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from typing import Dict, List, Any, Optional
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from google import genai
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from google.genai import types
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from dotenv import load_dotenv
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import os
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import logging
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logger.error("GEMINI_API_KEY not found in environment variables!")
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raise ValueError("GEMINI_API_KEY not found! Please set it in environment variables")
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logger.info(f"API Key loaded successfully (length: {len(api_key)} characters)")
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try:
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client = genai.Client(api_key=api_key)
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logger.info("Gemini API configured successfully")
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except Exception as e:
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logger.error(f"Failed to configure Gemini API: {str(e)}")
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Brief answers only.'''
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MODEL_NAME = "gemini-2.0-flash-lite"
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GENERATION_CONFIG = types.GenerateContentConfig(
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temperature=0.2,
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top_p=0.8,
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top_k=5,
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max_output_tokens=100,
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)
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# Tool Functions
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def validate_time_slot(time: str) -> tuple[bool, str]:
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"""Validate if time slot is within business hours and in correct format"""
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}
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def chat(user_input: str) -> Dict[str, Any]:
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"""Main chat function using new google-genai SDK"""
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try:
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logger.info(f"Processing chat request: {user_input[:50]}...")
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full_prompt = f"{SYSTEM_PROMPT}\n\nUser: {user_input}\n\nAssistant:"
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response = client.models.generate_content(
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model=MODEL_NAME,
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contents=full_prompt,
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config=GENERATION_CONFIG,
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)
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if not response.text:
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logger.warning("Empty response from Gemini")
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return {
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"type": "error",
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"content": "No response generated. Please try again.",
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"language": "en"
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}
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response_text = response.text.strip()
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processed_response = process_tool_call(response_text)
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logger.info("Chat request processed successfully")
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return processed_response
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except Exception as e:
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error_msg = str(e)
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logger.error(f"Chat error: {error_msg}")
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if "429" in error_msg or "quota" in error_msg.lower():
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return {"type": "error", "content": "API quota exceeded. Please wait and try again.", "language": "en"}
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elif "timeout" in error_msg.lower() or "deadline" in error_msg.lower():
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return {"type": "error", "content": "Response too slow. Try a shorter question.", "language": "en"}
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else:
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return {"type": "error", "content": f"Error: {error_msg}", "language": "en"}
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def chat_stream(user_input: str):
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"""Streaming chat function using new google-genai SDK"""
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try:
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logger.info(f"Processing streaming chat request: {user_input[:50]}...")
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full_prompt = f"{SYSTEM_PROMPT}\n\nUser: {user_input}\n\nAssistant:"
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accumulated_text = ""
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for chunk in client.models.generate_content_stream(
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model=MODEL_NAME,
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contents=full_prompt,
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config=GENERATION_CONFIG,
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):
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if chunk.text:
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accumulated_text += chunk.text
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yield f"data: {json.dumps({'chunk': chunk.text})}\n\n"
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if accumulated_text:
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processed = process_tool_call(accumulated_text)
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yield f"data: {json.dumps({'done': True, 'result': processed})}\n\n"
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logger.info("Streaming chat request completed successfully")
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else:
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yield f"data: {json.dumps({'done': True, 'result': {'type': 'error', 'content': 'No response generated.', 'language': 'en'}})}\n\n"
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logger.warning("Streaming chat generated no response")
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except Exception as e:
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error_msg = str(e)
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logger.error(f"Streaming chat error: {error_msg}")
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if "429" in error_msg or "quota" in error_msg.lower():
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content = "API quota exceeded. Please wait and try again."
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elif "timeout" in error_msg.lower() or "deadline" in error_msg.lower():
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content = "Response too slow. Try a shorter question."
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else:
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content = f"Error: {error_msg}"
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yield f"data: {json.dumps({'done': True, 'result': {'type': 'error', 'content': content, 'language': 'en'}})}\n\n"
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# Routes
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@app.route('/')
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requirements.txt
CHANGED
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@@ -1,5 +1,5 @@
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flask==3.1.2
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flask-cors==6.0.2
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-
google-
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python-dotenv==1.2.1
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gunicorn==23.0.0
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flask==3.1.2
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flask-cors==6.0.2
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google-genai==1.16.0
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python-dotenv==1.2.1
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gunicorn==23.0.0
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