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Update app.py
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app.py
CHANGED
@@ -29,26 +29,25 @@ end_sequence = "I hope that helps!"
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def generate_key_points(text):
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prompt = f"""
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"""
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return llm_client.text_generation(prompt, max_new_tokens=2000, stream=True, stop_sequences=[end_sequence])
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@@ -173,11 +172,11 @@ def run_display(text):
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current_output = ""
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for output in generate_key_points(text):
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current_output += output
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yield None, "```
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current_output = current_output.replace("</s>", "")
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dataframe, _ = parse_llm_output(current_output)
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map = create_map_from_markers(dataframe)
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yield map, "```
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def select_example(df, data: gr.SelectData):
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def generate_key_points(text):
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prompt = f"""
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Please generate a set of key geographical points for the following description: {text}, as a json list of less than 10 dictionnaries with the following keys: 'name', 'description'.
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Precise the full location in the 'name' if there is a possible ambiguity: for instance given that there are Chinatowns in several US cities, give the city name to disambiguate.
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Generally try to minimize the distance between locations. Always think of the transportation means that you want to use, and the timing: morning, afternoon, where to sleep.
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Only generate two sections: 'Thought:' provides your rationale for generating the points, then you list the locations in 'Key points:'.
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Then generate '{end_sequence}' to indicate the end of the response.
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For instance:
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Description: {description_sf}
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Thought: {output_example_sf}
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{end_sequence}
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Description: {description_loire}
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Thought: {output_example_loire}
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{end_sequence}
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Now begin. You can make the descriptions a bit more verbose than in the examples.
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Description: {text}
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Thought:"""
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return llm_client.text_generation(prompt, max_new_tokens=2000, stream=True, stop_sequences=[end_sequence])
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current_output = ""
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for output in generate_key_points(text):
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current_output += output
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yield None, "```text\n" + current_output + "\n```"
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current_output = current_output.replace("</s>", "")
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dataframe, _ = parse_llm_output(current_output)
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map = create_map_from_markers(dataframe)
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yield map, "```text\n" + current_output + "\n```"
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def select_example(df, data: gr.SelectData):
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