Create app.py

app.py

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+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()
+