Enhance sentiment analysis in trading strategy within app.py

Add Alpaca trading strategy and backtesting functionality to app.py

Refactor app.py to simplify stock price prediction logic and remove unused imports. Update requirements.txt to maintain statsmodels dependency. Streamline the return value of predict_stock_price to only include forecast values.

Enhance stock prediction and visualization features in app.py:

Add stock analysis tools to app.py: implement sentiment analysis, stock price prediction, and stock comparison features; update requirements.txt to include statsmodels

Refactor LLM integration in app.py: replace RunnableSequence with LLMChain and update method call from invoke() to run() for improved functionality and clarity

Refactor LLM integration in app.py: replace LLMChain with RunnableSequence and update method call from run() to invoke() for improved functionality

Refactor imports in app.py to streamline dependencies and remove unused components

Refactor imports in app.py to include additional Langchain components for enhanced functionality

fixed not added access token

fixed and improved with github code help

reduced max_new_tokens

fixed by chatgpt

added error handling for response

removed promt template

trying to fix issuenot getting output

added fixes

added max new tokens

fixed error

added improvements

removed temprature

fix custom promt not removed

removed prompt_template

fixed prompttemplate not imported

fixed f string problem

added error handling through langchain

added gemma

added error handling

added relevent documents

Add application file