Update app.py
Browse files
app.py
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@@ -19,6 +19,14 @@ from datasets import load_dataset, get_dataset_config_info, Dataset
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from PIL import Image
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import time
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import uuid
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# Page config with beautiful theme
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st.set_page_config(
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@@ -417,15 +425,20 @@ Groq_Token = os.getenv("GROQ_API_KEY")
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hf_token = os.getenv("HF_TOKEN")
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gemini_token = os.getenv("GEMINI_TOKEN")
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models = {
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"gpt-oss-20b": "openai/gpt-oss-20b",
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"gpt-oss-120b": "openai/gpt-oss-120b",
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"
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"llama3.3": "llama-3.3-70b-versatile",
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"deepseek-R1": "deepseek-r1-distill-llama-70b",
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"
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"
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"gemini-
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}
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self_path = os.path.dirname(os.path.abspath(__file__))
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@@ -550,10 +563,10 @@ if not available_models:
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st.error("No API keys available! Please set up your API keys in the .env file")
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st.stop()
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# Set
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default_index = 0
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if "
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default_index = available_models.index("
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# Simple header - just title and model selector
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col1, col2 = st.columns([3, 1])
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@@ -935,6 +948,4 @@ if st.session_state.get("processing"):
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<p style='margin: 0; font-size: 0.75rem; color: #475569;'><strong>Locations:</strong> 300+ cities across India</p>
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<p style='margin: 0; font-size: 0.75rem; color: #475569;'><strong>Records:</strong> 100,000+ measurements</p>
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</div>
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""", unsafe_allow_html=True)
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from PIL import Image
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import time
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import uuid
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import asyncio
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# Gemini API requires async
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try:
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asyncio.get_running_loop()
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except RuntimeError:
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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# Page config with beautiful theme
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st.set_page_config(
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hf_token = os.getenv("HF_TOKEN")
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gemini_token = os.getenv("GEMINI_TOKEN")
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# Model order is decided by this
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models = {
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"gpt-oss-120b": "openai/gpt-oss-120b",
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"gpt-oss-20b": "openai/gpt-oss-20b",
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"llama4 maverik":"meta-llama/llama-4-maverick-17b-128e-instruct",
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"llama3.3": "llama-3.3-70b-versatile",
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"deepseek-R1": "deepseek-r1-distill-llama-70b",
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"gemini-2.5-flash": "gemini-2.5-flash",
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"gemini-2.5-pro": "gemini-2.5-pro",
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"gemini-2.5-flash-lite": "gemini-2.5-flash-lite",
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"gemini-2.0-flash": "gemini-2.0-flash",
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"gemini-2.0-flash-lite": "gemini-2.0-flash-lite",
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# "llama4 scout":"meta-llama/llama-4-scout-17b-16e-instruct"
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# "llama3.1": "llama-3.1-8b-instant"
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}
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self_path = os.path.dirname(os.path.abspath(__file__))
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st.error("No API keys available! Please set up your API keys in the .env file")
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st.stop()
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# Set GPT-OSS-120B as default if available
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default_index = 0
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if "gpt-oss-120b" in available_models:
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default_index = available_models.index("gpt-oss-120b")
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# Simple header - just title and model selector
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col1, col2 = st.columns([3, 1])
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<p style='margin: 0; font-size: 0.75rem; color: #475569;'><strong>Locations:</strong> 300+ cities across India</p>
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<p style='margin: 0; font-size: 0.75rem; color: #475569;'><strong>Records:</strong> 100,000+ measurements</p>
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</div>
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""", unsafe_allow_html=True)
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