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Update app.py
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app.py
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from huggingface_hub import InferenceClient
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# Initialize the language model
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generator = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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def generate_script(host_name
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call_to_action="act now"):
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# Variables
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#
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script = generator(prompt_template, max_length=1000)[0]['generated_text']
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# Split the script into sections
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@@ -33,15 +40,19 @@ def generate_script(host_name="John", listener_location="City", causes_climate_c
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return script
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#
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iface = gr.Interface(fn=generate_script,
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inputs=[gr.Textbox(label="Host Name", value="John"),
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gr.Textbox(label="Listener Location", value="City"),
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gr.Textbox(label="Causes Climate Change", value="human activities"),
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gr.Number(label="CO2 Level",
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gr.Textbox(label="Effects Climate Change", value="rising temperatures"),
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gr.Number(label="Sea Level Rise",
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gr.Number(label="Warming Rate",
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gr.Textbox(label="Potential Solutions", value="renewable energy"),
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gr.Textbox(label="Individual Role", value="reduce carbon footprint"),
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gr.Textbox(label="Call To Action", value="act now")],
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import warnings
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from huggingface_hub import InferenceClient
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warnings.filterwarnings('ignore')
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# Initialize the language model
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generator = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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def generate_script(host_name, listener_location, causes_climate_change, co2_level, effects_climate_change,
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sea_level_rise, warming_rate, potential_solutions, individual_role, call_to_action,
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TOPIC, DESCRIPTION):
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# Variables
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introduction_template = f"{host_name}, good morning! This is {listener_location}'s local radio station. Today we're talking about an issue that affects us all - {TOPIC}. It's a pressing issue that requires our immediate attention..."
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causes_template = f"The causes of {TOPIC} are {causes_climate_change}. Today, the level of CO2 in our atmosphere is {co2_level}, which is concerning..."
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effects_template = f"These activities result in {effects_climate_change}, leading to drastic changes in our environment. For instance, sea levels are rising at a rate of {sea_level_rise} per year, and global temperatures are increasing at a rate of {warming_rate} per decade..."
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solutions_template = f"But don't worry, there are solutions. {potential_solutions} are all steps we can take to mitigate these effects..."
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role_template = f"Each one of us plays a role in combating {TOPIC}. Even small actions can make a big difference. In fact, our location, {listener_location}, is particularly vulnerable to {TOPIC} due to its geographical features..."
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action_template = 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..."
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summary_template = f"In conclusion, {TOPIC} 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!"
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# Combine templates based on the DESCRIPTION
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prompt_template = f"""{introduction_template} {causes_template} {effects_template} {solutions_template} {role_template} {action_template} {summary_template}
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TOPIC: {TOPIC}. DESCRIPTION: {DESCRIPTION}"""
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# Generate the script using the language model
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script = generator(prompt_template, max_length=1000)[0]['generated_text']
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# Split the script into sections
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return script
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# Example usage
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#generate_script("Host Name", "Listener Location", "Causes of Climate Change", 415, "Effects of Climate Change",
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# 2.5, 1.5, "Potential Solutions", "Individual Role", "Call to Action", "Environmental Issues", "Description of the environmental issues")
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iface = gr.Interface(fn=generate_script,
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inputs=[gr.Textbox(label="Host Name", value="John"),
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gr.Textbox(label="Listener Location", value="City"),
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gr.Textbox(label="Causes Climate Change", value="human activities"),
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gr.Number(label="CO2 Level", value=400),
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gr.Textbox(label="Effects Climate Change", value="rising temperatures"),
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gr.Number(label="Sea Level Rise", value=0.1),
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gr.Number(label="Warming Rate", value=0.2),
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gr.Textbox(label="Potential Solutions", value="renewable energy"),
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gr.Textbox(label="Individual Role", value="reduce carbon footprint"),
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gr.Textbox(label="Call To Action", value="act now")],
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