Deploying to Streamlit

.env

@@ -1,3 +1,3 @@
-API_KEy='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'
+OPENAI_API_KEY='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'
 GROQ_API_KEY = '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'
 SERPER_API_KEY = 'fc4e9e4dda3ab09a3b51896f6d0211a7bc19db9e'

LangchainSearch.py

@@ -1,14 +0,0 @@
-import os
-from dotenv import load_dotenv
-from langchain.llms import OpenAI
-from langchain.agents import load_tools, initialize_agent, AgentType
-
-
-load_dotenv()
-
-llm = OpenAI(temperature=0.5, streaming=True, openai_api_key=os.getenv('API_KEY'))
-tools = load_tools(
-    ''
-)
-
-

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from streamlit_chat import message
-from GroqSearch.researcher import Researcher
+from researcher import Researcher
 from dotenv import find_dotenv, load_dotenv
 load_dotenv(find_dotenv())
 st.set_page_config(layout="wide")

requirements.txt

@@ -1,122 +0,0 @@
-aiohttp==3.9.3
-aiosignal==1.3.1
-altair==5.2.0
-annotated-types==0.6.0
-anyio==4.3.0
-attrs==23.2.0
-backoff==2.2.1
-beautifulsoup4==4.12.3
-blinker==1.7.0
-cachetools==5.3.3
-certifi==2024.2.2
-chardet==5.2.0
-charset-normalizer==3.3.2
-click==8.1.7
-colorama==0.4.6
-contourpy==1.2.0
-cycler==0.12.1
-dataclasses-json==0.6.4
-distro==1.9.0
-emoji==2.10.1
-faiss-cpu==1.8.0
-filelock==3.9.0
-filetype==1.2.0
-fonttools==4.49.0
-frozenlist==1.4.1
-fsspec==2024.2.0
-gitdb==4.0.11
-GitPython==3.1.42
-greenlet==3.0.3
-groq==0.4.2
-h11==0.14.0
-httpcore==1.0.4
-httpx==0.27.0
-huggingface-hub==0.21.3
-idna==3.6
-importlib-metadata==7.0.1
-Jinja2==3.1.2
-joblib==1.3.2
-jsonpatch==1.33
-jsonpath-python==1.0.6
-jsonpointer==2.4
-jsonschema==4.21.1
-jsonschema-specifications==2023.12.1
-kiwisolver==1.4.5
-langchain==0.1.10
-langchain-community==0.0.25
-langchain-core==0.1.28
-langchain-groq==0.0.1
-langchain-text-splitters==0.0.1
-langdetect==1.0.9
-langsmith==0.1.14
-lxml==5.1.0
-markdown-it-py==3.0.0
-MarkupSafe==2.1.3
-marshmallow==3.21.0
-matplotlib==3.8.3
-mdurl==0.1.2
-mpmath==1.3.0
-multidict==6.0.5
-mypy-extensions==1.0.0
-networkx==3.2.1
-nltk==3.8.1
-numpy==1.26.4
-orjson==3.9.15
-packaging==23.2
-pandas==2.2.1
-pillow==10.2.0
-protobuf==4.25.3
-pyarrow==15.0.0
-pydantic==2.6.3
-pydantic_core==2.16.3
-pydeck==0.8.1b0
-Pygments==2.17.2
-pyparsing==3.1.1
-python-dateutil==2.9.0.post0
-python-dotenv==1.0.1
-python-iso639==2024.2.7
-pytz==2024.1
-PyYAML==6.0.1
-rapidfuzz==3.6.1
-referencing==0.33.0
-regex==2023.12.25
-requests==2.31.0
-rich==13.7.1
-rpds-py==0.18.0
-safetensors==0.4.2
-scikit-learn==1.4.1.post1
-scipy==1.12.0
-seaborn==0.13.2
-sentence-transformers==2.5.1
-six==1.16.0
-smmap==5.0.1
-sniffio==1.3.1
-soupsieve==2.5
-SQLAlchemy==2.0.27
-streamlit==1.31.1
-streamlit-chat==0.1.1
-sympy==1.12
-tabulate==0.9.0
-tenacity==8.2.3
-threadpoolctl==3.3.0
-tokenizers==0.15.2
-toml==0.10.2
-toolz==0.12.1
-torch==2.2.1+cu118
-torchaudio==2.2.1+cu118
-torchvision==0.17.1+cu118
-tornado==6.4
-tqdm==4.66.2
-transformers==4.38.2
-typing-inspect==0.9.0
-typing_extensions==4.8.0
-tzdata==2024.1
-tzlocal==5.2
-unstructured==0.11.8
-unstructured-client==0.21.0
-urllib3==2.2.1
-validators==0.22.0
-watchdog==4.0.0
-wrapt==1.16.0
-yarl==1.9.4
-zipp==3.17.0

researcher.py

@@ -85,13 +85,17 @@ class Researcher:
         return research_content
     
     def research_given_query(self, research_objective, research_content):
-        
         docs = self.text_splitter.split_documents(research_content)
+        if not docs:  # Check if docs is empty
+            print("No documents found for research content.")
+            return None  # Handle the case as appropriate for your application
+    # Proceed with FAISS index creation only if documents are available
         self.db = FAISS.from_documents(documents=docs, embedding=self.hfembeddings)
         bot = self.research_answerer()
-        research_out =bot({"query": research_objective})
+        research_out = bot({"query": research_objective})
         return research_out["result"]
 
+
     def research(self, query):
         search_articles = self.search_articles(query)
         urls = self.get_urls(search_articles)