app.py

import warnings
warnings.filterwarnings('ignore')

import matplotlib as mpl
mpl.rcParams["figure.dpi"] = 150

from langchain import HuggingFaceHub
import gradio as gr

# Initialize the language model
llm = HuggingFaceHub(repo_id="tiiuae/falcon-7b-instruct", model_kwargs={"temperature":0.6})

def get_response(prompt):
# Generate a response from the language model
 response = llm(prompt)

# Return the response
return response

def word_count(section):
# Count the number of words in a section
return len(section.split())

def generate_script(host_name, listener_location, climate_data, hazard_data):
# Variables

# Generate script
 script = f"""
   INTRODUCTION: '{get_response(f"{host_name}, good morning! This is {listener_location}'s local radio station. Today we're talking about an issue that affects us all - climate change. It's a pressing issue that requires our immediate attention...")}'

   CAUSES OF CLIMATE CHANGE: '{get_response(f"The causes of climate change are {climate_data['causes']}. Today, the level of CO2 in our atmosphere is {climate_data['co2_level']}, which is concerning...")}'

   EFFECTS OF CLIMATE CHANGE: '{get_response(f"These activities result in {climate_data['effects']}, leading to drastic changes in our environment. For instance, sea levels are rising at a rate of {hazard_data['sea_level_rise']} per year, and global temperatures are increasing at a rate of {hazard_data['warming_rate']} per decade...")}'

   POTENTIAL SOLUTIONS: '{get_response(f"But don't worry, there are solutions. {climate_data['solutions']} are all steps we can take to mitigate these effects...")}'

   INDIVIDUAL ROLE: '{get_response(f"Each one of us plays a role in combatting climate change. Even small actions can make a big difference. In fact, our location, {listener_location}, is particularly vulnerable to climate change due to its geographical features...")}'

   CALL TO ACTION: '{get_response(f"So, {listener_location}, why wait? Start taking steps today towards a greener future. Support local businesses that prioritize sustainability, reduce your carbon footprint, and voice your opinion to policy makers...")}'

   SUMMARY: '{get_response(f"In conclusion, climate change is a serious issue that requires our immediate attention. But by understanding its causes, effects, and potential solutions, we can all play a part in mitigating its impact. Thank you for joining us today, and remember, every small action counts!")}'
 """

# Split the script into sections
 sections = script.split("\n")

# Calculate the word count for each section
 word_counts = [word_count(section) for section in sections]

# Check if any section exceeds the target word count
for i, count in enumerate(word_counts):
   if count > 200:
     print(f"Warning: Section {i+1} exceeds the target word count. You may need to shorten this section.")

return script

# Create a Gradio interface
iface = gr.Interface(fn=generate_script, inputs=["text", "text", gr.JSON(), gr.JSON()], outputs="text")

# Launch the interface
iface.launch()